The invention discloses a light rail train comfort level evaluation system based on a cloud platform

Abstract

The invention discloses a light rail train comfort level evaluation system based on a cloud platform. The device structurally comprises a data acquisition module, The system comprises a cloud platformand a mobile phone App module. GPS passing through mobile phone, Acceleration sensor, Light sensor, air pressure, temperature and humidity, heart rate, blood oxygen, blood pressure, body temperature,electrocardiogram and other sensors of the microphone and the intelligent bracelet acquire multi-mode data, the data are transmitted to the cloud platform based on 5G, and through cloud computing andprocessing, the comfort and health evaluation results of the light rail train passengers and comfort trend results of all light rail train stations are displayed on a mobile phone App; According to the invention, the operation condition and comfort of the light rail train at each station can be comprehensively evaluated in real time; The light rail train comfort level and the health condition ofpassengers taking the light rail train can be evaluated, the comfort level trend of each station on the light rail train in a future period of time can be predicted, light rail train travel information and health tracking services can be provided for the passengers, and the light rail train comfort level and health tracking service system has good market prospects.

Description

technical field [0001] The invention relates to the field of light rail train comfort and passenger health evaluation, in particular to a method of collecting multi-modal information such as light rail train operation information, compartment environment information, and human physiological information. The cloud platform processes, analyzes and predicts a large amount of data, based on Evaluation criteria A system that obtains real-time comfort results, comfort trends, and human health evaluation results for each station of a light rail train. Background technique [0002] Light rail trains are used by many cities at home and abroad to effectively alleviate urban congestion and environmental problems due to their punctual, fast, large commuting volume, and low-carbon environmental protection. my country's urban rail transit is developing rapidly, and the number of people using light rail trains continues to increase. People are paying more and more attention to the comfort a...

AI Technical Summary

Problems solved by technology

[0002] Light rail trains are used by many cities at home and abroad to effectively alleviate urban congestion and environmental problems due to their punctual, fast, large commuting volume, and low-carbon environmental protection. my country's urban rail transit is developing rapidly, and the number of people using light rail trains continues to increase. People are paying more and more attention to the comfort and health of light rail train passengers, so it is very necessary to analyze, evaluate and predict the comfort of light rail trains; Single variable or single aspect variable analysis such as train vibration signal, car environment, human physiology, etc., there is no comprehensive light rail train operation information, compartment environmental information and human physiological information to evaluate the comfort and health of light rail train passengers and based on a large amount of data. A system for predicting station comfort of light rail trains

[0003] Existing comfort measurement equipment for light rail trains mainly takes train vibration as the measurement target to evaluate the comfort of light rail trains. It has a single function and is expensive. Factors and passenger physiological parameters affect the comfort of light rail train passengers; however, existing studies have shown that environmental factors in the train (such as noise, temperature, humidity, air pressure, etc.) ECG, etc.) play a vital role in passenger comfort evaluation

[0004] At present, domestic evaluation of the comfort of light rail trains is still far from perfect. There is no specific evaluation standard for light rail train comfort in my country, no specific and detailed analysis of the comfort of light rail trains, and no analysis of the comfort of each station through a large amount of data. Real-time Trend Prediction of Comfort

[0005] To sum up, the existing light rail train comfort evaluation system is very imperfect, which is reflected in the single data acquisition equipment, imperfect data analysis standards and low precision, no use of data mining technology and deep learning technology, and the inability to predict the comfort of each station. The changing trend of comfort of light rail trains; therefore, the current comfort evaluation system cannot well meet the actual needs of trains and passengers

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